Downloads provided by UsageCounts
Research Data Management (RDM) is a cross-functional, multi-level, multidisciplinary endeavour among various actors. The key in RDM is to maximise the research data value chain, knowledge transfer and impact. This poster was presented at the 3. Sächsische FDM-Tagung present the preliminary work of the Leibniz IOER in developing a research data strategy, governance and stewardship program with a socio-technical approach, improving engagement, coordination and RDM procedures. The Leibniz IOER research data strategy development follows and adapt the Research Infrastructure Self-Evaluation framework developed for the German context (RISE-DE). Link to the abstracts: SaxFDM-Tagung-2022-Programm-und-Abstracts-der-Vortraege-und-Poster.pdf
Research Data Strategy, SaxFDM, Research Data Management, 3. Sächsische FDM-Tagung, RISE-DE, Forschungsdatenmanagement, Research Data Governance, Research Data Stewardship
Research Data Strategy, SaxFDM, Research Data Management, 3. Sächsische FDM-Tagung, RISE-DE, Forschungsdatenmanagement, Research Data Governance, Research Data Stewardship
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 82 | |
| downloads | 23 |

Views provided by UsageCounts
Downloads provided by UsageCounts